• Publications of The Korean Astronomical Society
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• v.27 no.4
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• pp.153-159
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• 2012

We constructed an unbiased asteroid catalog from the mid-infrared part of the All-Sky Survey with the Infrared Camera (IRC) on board AKARI. About 20% of the point source events recorded in the IRC All-Sky Survey observations were not used for the IRC Point Source Catalog in its production process because of a lack of multiple detection by position. Asteroids, which are moving objects on the celestial sphere, are included in these "residual events" We identified asteroids out of the residual events by matching them with the positions of known asteroids. For the identified asteroids, we calculated the size and albedo based on the Standard Thermal Model. Finally we had a new brand of asteroid catalog, which contains 5,120 objects, about twice as many as the IRAS asteroid catalog.

• Journal of Internet Computing and Services
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• v.4 no.6
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• pp.13-24
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• 2003

Grid technology requires use of geographically distributed resources from multiple domains. Resource monitoring services or tools consisting sensors or agents will run on many systems to find static resource information (such as architecture vendor, OS name and version, MIPS rate, memory size, CPU capacity, disk size, and NIC information) and dynamic resource information (CPU usage, network usage(bandwidth, latency), memory usage, etc.). Thus monitoring itself may cause system overhead. This paper proposes the optimal monitoring interval to reduce the cost of monitoring services and the dynamic monitoring interval to measure monitoring events accurately. By employing two features, we find out unnecessary system overhead is significantly reduced and accuracy of events is still acquired.

• Industrial Engineering and Management Systems
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• v.8 no.1
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• pp.37-46
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• 2009

Patient safety has become a growing concern in health care. The U.S. Institute of Medicine (IOM) report "To Err Is Human: Building a Safer Health System" in 1999 included estimations that medical error is the eighth leading cause of death in the United States and results in up to 100,000 deaths annually. However, many adverse events and errors occur in surgical practice. Within all kinds of surgical adverse events, wrong-side/wrong-site, wrong-procedure, and wrong-patient adverse events are the most devastating, unacceptable, and often result in litigation. Much literature claims that systems must be put in place to render it essentially impossible or at least extremely difficult for human error to cause harm to patients. Hence, this research aims to develop a prototype system based on active RFID that detects and prevents errors in the OR. To fully comprehend the operating room (OR) process, multiple rounds of on site discussions were conducted. IDEF0 models were subsequently constructed for identifying the opportunity of improvement and performing before-after analysis. Based on the analysis, the architecture of the proposed RFID-based OR system was developed. An on-site survey conducted subsequently for better understanding the hardware requirement will then be illustrated. Finally, an RFID-enhanced system based on both the proposed architecture and test results was developed for gaining better control and improving the safety level of the surgical operations.

• Journal of Korean Academy of Nursing Administration
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• v.19 no.3
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• pp.340-350
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• 2013

Purpose: This study was done to identify relationships among post-traumatic stress (PTS), job stress and turnover intention in emergency department (ED) nurses. Methods: Participants were 250 ED nurses who had worked for one month or longer in the ED one of three university hospitals or seven general hospitals in Daegu City or Gyeong Buk Province in Korea. Structured questionnaires were used to measure PTS, job stress, and turnover intention of participants. Data were analyzed using descriptive statistics, one-way ANOVA, path analysis, and stepwise multiple regression with the SPSS program. Results: There were significant relationships between PTS, job stress and turnover intention. PTS influenced turnover intention directly and was indirectly mediated by job stress. The experience of traumatic events influenced PTS, job stress, and turnover intention. Indirect experience of traumatic events in the ED was an important predictor, explaining 20.1% of PTS in high-risk post-traumatic participants. Conclusion: PTS can be an important factor for job stress and turnover intention. The direct and indirect experience of traumatic events can influence PTS, job stress, and turnover intention in ED nurses. Based on these results, strategies for managing PTS and relating job stress are recommended to reduce turnover intention in ED nurses.

• Journal of the Korean Home Economics Association
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• v.34 no.3
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• pp.305-325
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• 1996

This study was designed to compare mothers' beliefs of literacy development and home literacy environment and to explore how the children interacted with their mother during literacy activities and how they used the strategies to develop knowledge of literacy. The qualitative data was collected from multiple sources of naturalistic information and analyzed through triangulation of diverse methods including participant observations in the home, parental during literacy events, written logs kept by the mothers, the children's writing products, three emergent assessment forms, and photographs. The three preschoolers and their mothers provided different literacy experiences to support their children's emerging conventional literacy development. Child 1's mother highly valued the rich home literacy environment and the child 1's initiative interactions during literacy events. Child 3's home literacy context was very similar to her Montessori classroom's phonic approach and writing skills. Child 2 was provided with an inappropriate literacy environment at home through direct instruction and an emphasis on correct writing. All of the children were interested and attended to story. Child 1 interacted with her mother in expanded cycles as child's initiation, mother's clarification, and child's evaluation, compared with the child 2's simple cycle and the child 3's classroom-like cycle as mother's initiation, child's response, and mother's evaluation. The children and their mothers employed a number of diverse strategies to understand knowledge of literacy. Importantly parent education needs to emphasize the importance of playful one to one mother-child interaction, a functional holistic literacy environment., and strategies for expanding child's knowledge with parent as mediator.

• Women's Health Nursing
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• v.20 no.1
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• pp.38-47
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• 2014

Purpose: This study aimed to identify related factors of prenatal depression by stress-vulnerability and stress-coping models for pregnant women. Methods: A cross-sectional survey design with a convenience sampling was used. A total of 107 pregnant women who visited a general hospital in a metropolitan city were recruited from August to October, 2013. A structured questionnaire included the Korean version of Beck Depression Inventory II, and the instruments measuring Self-Esteem, Marital Satisfaction, Pregnancy Stress, Stressful Life Events, and Coping. The data were analyzed using descriptive statistics, t-test, Parson's correlation analysis, and stepwise multiple regression. Results: The mean score of prenatal depression was $11.95{\pm}6.2$, then showing 19.6% with mild depression, 15.0% with moderate depression, and 0.9% with severe depression on BDI II scale. Prenatal depression had positive correlation with pregnancy stress (r=.55, p<.01), stressful life events (r=.26, p<.01) and negative correlation with self- esteem (r=-.38, p<.01), marital satisfaction (r=-.40, p<.01), and coping (r=-.21, p<.05). Factors of pregnancy stress, self-esteem, stressful life events, and planned pregnancy explained 38% of the total variance of prenatal depression. Conclusion: These findings show that health providers need to assess prenatal depression and to control the influencing factors.

• Journal of the Society of Naval Architects of Korea
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• v.59 no.3
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• pp.164-172
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• 2022

A HAZID is a brainstorming workshop to identify hazards in an early phase of a project. It should be flexible to capture all probable accidents allowing experienced participants to exploit their expertise and experiences. A bowtie analysis is a graphical representation of major accident hazards elaborating safety measures i.e. barriers. The result of these workshops should be documented in an organized manner to share as good as possible details of the discussion through the lifetime of the project. Currently results are documented using a three-step representation of an accident; causes, top event and consequences, which cannot capture correctly sequence of events leading to various accidents and roles of barrier between two events. Another problem is that barriers would be shown repeatedly leading to a misunderstanding that there are an enough number of safety measures. A new bowtie analysis method is proposed to describe an accident in multiple steps showing relations among causes or consequences. With causes and consequences shown in a format of a tree, the frequencies of having the top event (Fault tree analysis) and various consequences (Event tree analysis) are evaluated automatically based on the frequency of initiating causes and the probabilities of failure of barriers. It will provide a good description of the accident scenario and help the risk to be assessed transparently.

• Wind and Structures
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• v.38 no.3
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• pp.171-191
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• 2024

Wind Driven Rain (WDR) poses a significant threat to the building environment, especially in hurricane prone regions by causing interior and content damage during tropical storms and hurricanes. The damage due to rain intrusion depends on the total amount of water that enters the building; however, owing to the use of inadequate empirical methods, the amount of water intrusion is difficult to estimate accurately. Hence, the need to achieve full-scale testing capable of realistically simulating rain intrusion is widely recognized. This paper presents results of a full-scale experimental simulation at the NHERI Wall of Wind Experimental Facility (WOW EF) aimed at obtaining realistic rain characteristics as experienced by structures during tropical storms and hurricanes. A full-scale simulation of rain in strong winds would allow testing WDR intrusion through typical building components. A study of rain intrusion through a sliding glass door is presented, which accounted for the effects of multiple wind directions, test durations and wind speeds; configurations with and without shuttering systems were also considered. The study showed that significant levels of water intrusion can occur during conditions well below current design levels. The knowledge gained through this work may enhance risk modeling pertaining to loss estimates due to WDR intrusion in buildings, and it may help quantify the potential reduction of losses due to the additional protection from shuttering systems on sliding glass doors during winds.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.3
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• pp.291-296
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• 2006

In context-aware computing environment, some context is characterized by a single event, but many other contexts are determined by a sequence of events which happen with some timing constraints. Therefore context inference could be conducted by monitoring the sequence of event occurrence along with checking their conformance with timing constraints. Some context could be described with fuzzy concepts instead of concrete concepts. Multiple entities may interact with a service system in the context-aware environments, and thus the context inference mechanism should be equipped to handle multiple entities in the same situation. This paper proposes a context inference model which is based on the so-called fuzzy colored timed Petri net. The model represents and handles the sequential occurrence of some events along with involving timing constraints, deals with the multiple entities using the colored Petri net model, and employs the concept of fuzzy tokens to manage the fuzzy concepts.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2014.10a
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• pp.544-544
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• 2014

Energy harvesting technology, which scavenges electric power from ambient, otherwise wasted, energy sources, has been explored to develop self-powered wireless sensors and possibly eliminate the battery replacement cost for wireless sensors. Among ambient energy sources, vibration energy can be converted into electric power through a piezoelectric energy harvester. For the last decade, although tremendous advances have been made in design methodology to maximize harvestable electric power under a given vibration condition, the research in reliability assessment to ensure durability has been stagnant due to the complicated nature of the multiple failure modes of a piezoelectric energy harvester, such as the interfacial delamination, fatigue failure, and dynamic fracture. Therefore, this study presents the first-ever system reliability analysis for multiple failure modes of a piezoelectric energy harvester using the Generalized Complementary Intersection Method (GCIM), while accounts for the energy conversion performance. The GCIM enables to decompose the probabilities of high-order joint failure events into probabilities of complementary intersection events. The electromechanically-coupled analytical model is implemented based on the Kirchhoff plate theory to analyze its output performances of a piezoelectric energy harvester. Since a durable as well as efficient design of a piezoelectric energy harvester is significantly important in sustainably utilizing self-powered electronics, we believe that technical development on system reliability analysis will have an immediate and major impact on piezoelectric energy harvesting technology.